CN107016497A - Water power generation schedule optimization method - Google Patents
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- CN107016497A CN107016497A CN201710172515.3A CN201710172515A CN107016497A CN 107016497 A CN107016497 A CN 107016497A CN 201710172515 A CN201710172515 A CN 201710172515A CN 107016497 A CN107016497 A CN 107016497A
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- 238000005457 optimization Methods 0.000 title claims abstract description 22
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Abstract
Consider the water power generation schedule optimization method that optimum operating condition influences on unit operation the present invention relates to a kind of, specifically include following steps:Unit output upper pond level water consumption rate/efficiency characteristic is drawn by power station unit actual operating data;According to the unit output upper pond level water consumption rate/efficiency characteristic, it is considered to unit vibration area and unit EIAJ, the optimized operation power generating value under each upper pond level of unit is obtained, draw optimized operation and exert oneself upper pond level characteristic curve;Hydropower Unit optimized operation units limits are introduced, with the minimum target of water consumption, the consideration optimal 96 generation schedule compiling models exerted oneself of unit is constructed, solves the compiling model and obtain 96 generation schedules.Consider and optimal under unit current state exert oneself to work out generation schedule so that obtained generation schedule more conforms to actual conditions.
Description
Technical field
It is excellent in particular to a kind of water power generation schedule the present invention relates to dispatching automation of electric power systems technical field
Change method.
Background technology
When reservoir need to be generated electricity with maximum capacity increase water, traffic control person the performance driving economy of unit is considered compared with
It is few;And when reservoir greater than water without most requiring, traffic control person requires that unit is run under optimum operating condition as far as possible, to reduce generating
Water consumption rate improves waterpower utilization rate, realizes the purpose of reservoir energy efficiency.96 generation schedule establishments are electric power system dispatching fortune
Important process in row, refers within certain dispatching cycle (being typically one day), generation schedule is arranged with minimum energy consumption, real
Now with the balance of given load and meeting certain constraints and standby requirement.How according to current plant service condition, just
Victory solves the optimum operating condition of unit, and for instructing in hydroelectric power plant's short term scheduling, construct consider unit it is optimal exert oneself 96
Point generating plan model, and 96 higher generation schedules of suitable Algorithm for Solving model establishment degree of being practical are chosen, to reality
Existing water resource makes full use of, and improves hydroelectric station operation economic benefit and has great significance.
Existing generation schedule optimization method has:1st, the multiple target daily trading planning model of energy-conserving and environment-protective is taken into account, with reference to most
Excellent trend simultaneously introduces multiple target is converted into single object optimization model solution based on satisfaction and approach degree, and can be according to policymaker
Subjective wishes objective satisfaction degree is adjusted, make low and to take into account dusty gas discharge capacity few for target with financial cost
Daily trading planning;2nd, energy-saving distribution generating plan model, according to the whole network load, partition load prediction and energy-saving power generation tagmeme
Table, determines unit start-up mode, and the generated energy of unit is determined using equal increment method, introduces equipment utilization rate coefficient dispenser group
Generating curve corrects unit generation curve to meet operation constraints to meet system safety operation and peak regulation requirement, most
Unit generation curve is obtained eventually;3rd, the daily trading planning model of power system security constraints relaxation, constrained by relaxation unit generation amount,
Environment constraint, network constraint, unit rate constraint and the constraint of unit adjustable range etc., improve algorithmic statement performance, final to solve
Go out daily trading planning;4th, the daily trading planning model based on Optimal scheduling method, using Optimal scheduling method, and considers that dynamic adjustment is former
Then and in many calculating of the excellent principle to daily trading planning is selected to optimize.
Existing generation schedule optimization method is the improvement of the method for solving for generation schedule mostly, seldom considers optimal fortune
Influence of the row operating mode to unit operation is examined so that develop the generation schedule come and unit actual motion large deviations are larger, may
So that unit is in vibrating area and run or inefficient interval operation, the safe operation of unit was both influenceed, unit can not be realized again
Effec-tive Function.
The content of the invention
The present invention is in order to solve existing generation schedule and the big technical problem of actual motion deviation, it is proposed that a kind of consideration
The water power generation schedule optimization method that optimum operating condition influences on unit operation, specifically includes following steps:
Step 1:Unit output-upper pond level-water consumption rate/efficiency characteristic is drawn by power station unit actual operating data bent
Line;
Step 2:According to the unit output-upper pond level-water consumption rate/efficiency characteristic, it is considered to unit vibration area and
Unit EIAJ, obtains the optimized operation power generating value under each upper pond level of unit, draw optimized operation exert oneself-upper pond level is special
Linearity curve;
Step 3:Hydropower Unit optimized operation units limits are introduced, with the minimum target of water consumption, consideration unit are constructed
The optimal 96 generation schedule compiling models exerted oneself, solve the compiling model and obtain 96 generation schedules.
Further, the step 1 is specifically included:By power station unit actual operating data draw unit output-head-
Water consumption rate/efficiency characteristic, unit output-upper pond level-water consumption rate/efficiency is obtained according to the relation of head and upper pond level
The relation of characteristic curve, wherein head and upper pond level is HOn=HTail+ H, H represent head, HOnRepresent upper pond level, HTailRepresent tail
Water level.
Further, the water level value in 1/3 times of correspondence tailwater level curve of the tailwater level power taking station rated generation flow.
Further, the unit vibration area and unit EIAJ, are to go out power limits value under current upstream water level.
Further, conventional 96 generating plan models are also contemplated when building 96 generation schedule compiling models
Constraints, specifically include:Water balance constraint, Cascaded Hydropower Plant water contact constraint, pondage constraint, each water power
The constraint of brand-name computer group discharge capacity, each hydroelectric power plant's units limits.
Further, solving the step of compiling model obtains 96 generation schedule includes:Asked using dynamic programming algorithm
Solution obtains 96 generation schedule.
The present invention compared with prior art, with advantages below and effect:1st, according to unit actual motion data, it is considered to machine
Group vibrating area and unit EIAJ calculate that unit is optimal exerts oneself so that result of calculation is more practical.2nd, by introducing unit
Optimal this constraints establishment generation schedule of exerting oneself, result of calculation more conforms to actual conditions.
Brief description of the drawings
The features and advantages of the present invention can be more clearly understood from by reference to accompanying drawing, accompanying drawing is schematical without that should manage
Solve to carry out any limitation to the present invention, in the accompanying drawings:
Fig. 1 be some embodiments of the invention in water power generation schedule optimization method schematic flow sheet;
Fig. 2 be some embodiments of the invention in water power generation schedule optimization method schematic flow sheet;
Fig. 3 is that certain reservoir is exerted oneself-head-water consumption rate (N-H- μ) characteristic curve in some embodiments of the invention;
Fig. 4 is that certain reservoir is exerted oneself-upper pond level-water consumption rate (N-H in some embodiments of the inventionOn- μ) characteristic curve;
Fig. 5 is the optimal-upper pond level (N that exerts oneself of certain reservoir in some embodiments of the inventionIt is optimal-HOn) performance diagram;
Fig. 6 is certain reservoir day consideration optimal 96 generation schedules exerted oneself of unit in some embodiments of the invention.
Embodiment
It is below in conjunction with the accompanying drawings and specific real in order to be more clearly understood that the above objects, features and advantages of the present invention
Mode is applied the present invention is further described in detail.It should be noted that in the case where not conflicting, the implementation of the application
Feature in example and embodiment can be mutually combined.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still, the present invention may be used also
Implemented with being different from other modes described here using other, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
Embodiment one
The present invention had not considered that optimized operation was exerted oneself under unit current state to solve existing electric power optimization method, from
And cause hydraulic power potentials to underuse and the problems such as equipment damage, present embodiments provide a kind of water power generation schedule optimization side
Method, as shown in figure 1, comprising the following steps:
It is bent that S110 draws unit output-upper pond level-water consumption rate/efficiency characteristic by power station unit actual operating data
Line.Specifically, unit output-head-water consumption rate/efficiency characteristic is drawn by power station unit actual operating data, according to
The relation of head and upper pond level obtains unit output-upper pond level-water consumption rate/efficiency characteristic, wherein head and upstream
The relation of water level is HOn=HTail+ H, H represent head, HOnRepresent upper pond level, HTailRepresent tailwater level.By actual motion data,
So that result more conforms to actual conditions.In 1/3 times of correspondence tailwater level curve of the tailwater level power taking station rated generation flow
Water level value, the power station rated generation flow be equal to all unit rated generation flow sums.
S120:According to the unit output-upper pond level-water consumption rate/efficiency characteristic, it is considered to unit vibration area and machine
Group EIAJ, obtains the optimized operation power generating value under each upper pond level of unit, draws optimized operation and exerts oneself-upper pond level characteristic
Curve.Optimized operation under each upper pond level of unit for considering unit vibration area and the current EIAJ of unit to solve is exerted oneself
Value, result of calculation meets actual motion requirement, and degree of being practical is higher, specifically, and the unit vibration area and unit maximum go out
Power, is to go out power limits value under current upstream water level.
S130 introduces Hydropower Unit optimized operation units limits, with the minimum target of water consumption, constructs consideration unit most
The excellent 96 generation schedule compiling models exerted oneself, solve the compiling model and obtain 96 generation schedules.Building 96 points of hairs
The constraints of conventional 96 generating plan models is also contemplated during electric scheduling models, is specifically included:Water balance constraint,
Cascaded Hydropower Plant water contact constraint, pondage constraint, the constraint of each hydroelectric power plant's unit discharge capacity, each hydroelectric power plant exert oneself about
Beam.The generation schedule of establishment can make unit be continuously in optimum operating condition operation, reduce generating water consumption rate, lifting unit operation effect
Rate, increases power station power benefit.Solving the step of compiling model obtains 96 generation schedule includes:Utilize dynamic programming algorithm
Solve and obtain 96 generation schedule, either intelligently calculated using the related innovatory algorithm of dynamic programming algorithm or using other
Method.
Water power generation schedule optimization method in the embodiment of the present invention considers the EIAJ of unit vibration area and unit
Generation schedule is worked out with unit actual motion data is employed so that obtained generation schedule more conforms to actual conditions.
Embodiment two
The present invention present embodiments provides a kind of consideration optimal generation schedule optimization method exerted oneself of unit, methods described
Step is as follows:
Step 1:By collecting power station unit actual motion data, unit output-head-water consumption rate/efficiency (N-H- is drawn
μ/η) characteristic curve, and head H is converted into upper pond level HOn, form unit output-upper pond level-water consumption rate/efficiency (N-
HOn- μ/η) characteristic curve.Wherein HOnCalculation formula is as follows:
HOn=HTail+H (1)
In formula:HTail:Tailwater level.
Step 2:Consider unit vibration area, unit EIAJ, the N-H drawn according to step 1On- μ/η characteristic curves, is asked
The optimized operation power generating value under each upper pond level of unit is solved, N is drawnIt is optimal-HOnCharacteristic curve.
Step 3:Hydropower Unit optimized operation units limits are introduced, with the minimum target of water consumption, consideration unit are constructed
The optimal 96 generation schedule compiling models exerted oneself, and suitable Algorithm for Solving model is chosen, obtain degree of being practical higher
96, power station generation schedule.
According to actual motion data, N-H- μ/η characteristic curves are drawn, and head is converted into upper pond level, N-H is formedOn-
μ/η characteristic curves so that result of calculation more conforms to actual conditions.Consider that unit vibration area and the current EIAJ of unit are solved
Optimized operation power generating value under each upper pond level of unit gone out, result of calculation meets actual motion requirement, and degree of being practical is higher.
Consider optimal 96 planning models exerted oneself of unit, the generation schedule of establishment can make unit be continuously in optimum operating condition operation, drop
Low generating water consumption rate, lifts unit operation efficiency, increases power station power benefit.
Further, in the step 1, tailwater level power taking station rated generation flow (is equal to all unit rated generation streams
Measure sum) 1/3 times of correspondence tailwater level curve in water level value.
General near restricted area in view of EIAJ and vibrating area, in the step 2, unit vibration area and unit are most
Exert oneself greatly, be to go out power limits value under current upstream water level.
In order that the method for the present invention being capable of extensive utilization, other constraintss of 96 generation schedule compiling models
It is consistent with conventional 96 generating plan models.In the step 3, suitable algorithm is that dynamic programming algorithm and its related improve are calculated
Method, or intelligent algorithm.
Water power generation schedule optimization method burn-in group in the present embodiment of the present invention is optimal to exert oneself, and ensure that higher generate electricity
Efficiency, while unit can be protected.
Embodiment three
Referring to Fig. 2, in the present embodiment consider unit it is optimal exert oneself generation schedule optimization method the step of it is as follows:
Step 1:By collecting power station unit actual motion data, unit output-head-water consumption rate/efficiency (N-H- is drawn
μ/η) characteristic curve, and head H is converted into upper pond level HOn, form unit output-upper pond level-water consumption rate/efficiency (N-
HOn- μ/η) characteristic curve.Wherein HOnCalculation formula is as follows:
HOn=HTail+H (2)
In formula:HTail:Tailwater level, the 1/3 of power taking station rated generation flow (being equal to all unit rated generation flow sums)
The water level value in tailwater level curve is corresponded to again.
It is bent according to unit output-head of actual motion data plotting-water consumption rate characteristic by taking the reservoir of southwest as an example
Line is as shown in Figure 3.
It is 975.43m to calculate the corresponding tailwater level of 1/3 metered flow according to actual conditions, and head is converted according to formula 1
Into upper pond level, unit output-upper pond level-water consumption rate characteristic curve is formed, as shown in Figure 4.
Step 2:Consider unit vibration area, unit EIAJ, the N-H drawn according to step 1On- μ/η characteristic curves, is asked
Solve the optimized operation power generating value under each upper pond level of unit, the N drawn outIt is optimal-HOnCharacteristic curve is as shown in Fig. 5 and table 1:
Optimal-upper pond level (the N that exerts oneself of certain reservoir of table 1It is optimal-HOn) characteristic curve table
Upper pond level (m) | It is optimal to exert oneself (MW) |
1076≤z<1087 | 130 |
1087≤z<1096 | 150 |
1096≤z<1110 | 170 |
1110≤z<1140 | 200 |
Step 3:Hydropower Unit optimized operation units limits are introduced, with the minimum target of water consumption, consideration unit are constructed
Optimal 96 scheduling models exerted oneself, and the solution of discrete differential dynamic programming method is chosen, obtain and more meet with actual conditions
96 generation schedules, as shown in table 2 and Fig. 6:
Certain reservoir day of table 2 considers optimal 96 generation schedules exerted oneself of unit
Note:Current upstream water level is 1103.5m, and reservoir electricity today is 6,970,000 kW.h.
The present invention is different from conventional method, and by introducing, unit is optimal to exert oneself, and builds and considers the optimal generating exerted oneself of unit
Scheduling models, inquire into 96 generation schedules of reservoir.The present invention proposes that a kind of result of calculation more conforms to actual, practical journey
The Du Genggao optimal generation schedule optimization method exerted oneself of consideration unit.
In the present invention, term " first ", " second ", " the 3rd " are only used for describing purpose, and it is not intended that indicate or
Imply relative importance.Term " multiple " refers to two or more, unless otherwise clear and definite restriction.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (6)
1. a kind of water power generation schedule optimization method, it is characterised in that comprise the following steps:
Step 1:Unit output-upper pond level-water consumption rate/efficiency characteristic is drawn by power station unit actual operating data;
Step 2:According to the unit output-upper pond level-water consumption rate/efficiency characteristic, it is considered to unit vibration area and unit
EIAJ, obtains the optimized operation power generating value under each upper pond level of unit, draw optimized operation exert oneself-upper pond level characteristic is bent
Line;
Step 3:Hydropower Unit optimized operation units limits are introduced, with the minimum target of water consumption, consideration unit are constructed optimal
The 96 generation schedule compiling models exerted oneself, solve the compiling model and obtain 96 generation schedules.
2. water power generation schedule optimization method according to claim 1, it is characterised in that the step 1 is specifically included:Pass through
Power station unit actual operating data draws unit output-head-water consumption rate/efficiency characteristic, according to head and upper pond level
Relation obtain unit output-upper pond level-water consumption rate/efficiency characteristic, wherein the relation of head and upper pond level is HOn
=HTail+ H, H represent head, HOnRepresent upper pond level, HTailRepresent tailwater level.
3. water power generation schedule optimization method according to claim 2, it is characterised in that the specified hair in tailwater level power taking station
Water level value in 1/3 times of correspondence tailwater level curve of the magnitude of current.
4. according to any water power generation schedule optimization methods of claim 1-3, it is characterised in that the unit vibration area and
Unit EIAJ, is to go out power limits value under current upstream water level.
5. according to any water power generation schedule optimization methods of claim 1-3, it is characterised in that building 96 points of hairs
The constraints of conventional 96 generating plan models is also contemplated during electric scheduling models, is specifically included:Water balance constraint,
Cascaded Hydropower Plant water contact constraint, pondage constraint, the constraint of each hydroelectric power plant's unit discharge capacity, each hydroelectric power plant exert oneself about
Beam.
6. according to any water power generation schedule optimization methods of claim 1-3, it is characterised in that solve the compiling model
The step of obtaining 96 generation schedule includes:Solved using dynamic programming algorithm and obtain 96 generation schedule.
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Cited By (4)
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CN110188994A (en) * | 2019-04-29 | 2019-08-30 | 贵州乌江水电开发有限责任公司 | Running priority grade assessment method in a kind of Hydropower Unit factory |
CN111832830A (en) * | 2020-07-21 | 2020-10-27 | 河南郑大水利科技有限公司 | Tail water level-based big data optimization operation method for radial flow type hydropower station |
CN111832829A (en) * | 2020-07-21 | 2020-10-27 | 河南郑大水利科技有限公司 | Reservoir hydropower station optimized operation method based on big data |
CN117035363A (en) * | 2023-09-07 | 2023-11-10 | 湖北清江水电开发有限责任公司 | Daily power generation plan programming method for river basin step power plant |
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CN103745023A (en) * | 2013-11-22 | 2014-04-23 | 华中科技大学 | Coupling modeling method for hydropower station power generated output scheme making and optimal load distribution |
CN104299054A (en) * | 2014-10-15 | 2015-01-21 | 国电南瑞科技股份有限公司 | Power generation schedule optimization method taking hydroelectric generating set vibration area into account |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110188994A (en) * | 2019-04-29 | 2019-08-30 | 贵州乌江水电开发有限责任公司 | Running priority grade assessment method in a kind of Hydropower Unit factory |
CN110188994B (en) * | 2019-04-29 | 2023-07-21 | 贵州乌江水电开发有限责任公司 | Method for evaluating running priority in hydropower unit plant |
CN111832830A (en) * | 2020-07-21 | 2020-10-27 | 河南郑大水利科技有限公司 | Tail water level-based big data optimization operation method for radial flow type hydropower station |
CN111832829A (en) * | 2020-07-21 | 2020-10-27 | 河南郑大水利科技有限公司 | Reservoir hydropower station optimized operation method based on big data |
CN111832830B (en) * | 2020-07-21 | 2022-12-16 | 河南郑大水利科技有限公司 | Tail water level-based big data optimization operation method for radial flow type hydropower station |
CN117035363A (en) * | 2023-09-07 | 2023-11-10 | 湖北清江水电开发有限责任公司 | Daily power generation plan programming method for river basin step power plant |
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